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feat(npm): Add Claude Code v2.0.55+ commands to npm CLI
Added 3 new hooks commands to npm CLI: - lsp-diagnostic: Process LSP diagnostic events for learning - suggest-ultrathink: Recommend ultrathink mode for complex tasks - async-agent: Coordinate async sub-agent execution Security review completed: - No command injection vulnerabilities - Safe file path handling with path.join - Content length limits prevent memory issues - Minimal dependencies (commander + optional pg) Updated npm CLI to v0.1.27 with 29 hooks commands.
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Claude
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@ -583,7 +583,7 @@ The hooks integrate with Claude Code's event system:
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| Crate/Package | Description | Status |
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|---------------|-------------|--------|
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| [ruvector-cli hooks](./crates/ruvector-cli) | Rust CLI with 34 hooks commands | [](https://crates.io/crates/ruvector-cli) |
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| [@ruvector/cli hooks](./npm/packages/cli) | npm CLI with 26 hooks commands | [](https://www.npmjs.com/package/@ruvector/cli) |
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| [@ruvector/cli hooks](./npm/packages/cli) | npm CLI with 29 hooks commands | [](https://www.npmjs.com/package/@ruvector/cli) |
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#### Quick Start
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@ -1,6 +1,6 @@
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{
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"name": "@ruvector/cli",
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"version": "0.1.26",
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"version": "0.1.27",
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"description": "Command-line interface for RuVector vector database with self-learning hooks",
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"main": "dist/cli.js",
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"types": "dist/cli.d.ts",
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@ -506,7 +506,7 @@ function generateClaudeHooksConfig(): object {
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program
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.name('ruvector')
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.description('RuVector CLI - High-performance vector database')
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.version('0.1.25');
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.version('0.1.27');
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const hooks = program.command('hooks').description('Self-learning intelligence hooks for Claude Code');
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@ -974,4 +974,202 @@ hooks.command('swarm-stats')
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}, null, 2));
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});
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// ============================================================================
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// Claude Code v2.0.55+ Features
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// ============================================================================
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hooks.command('lsp-diagnostic')
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.description('Process LSP diagnostic events (Claude Code 2.0.55+)')
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.option('--file <path>', 'File with diagnostic')
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.option('--severity <level>', 'Diagnostic severity (error, warning, info, hint)')
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.option('--message <text>', 'Diagnostic message')
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.action((opts: { file?: string; severity?: string; message?: string }) => {
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const intel = new Intelligence();
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// Read hook input from stdin if available
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let stdinData: any = null;
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try {
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const inputPath = process.env.CLAUDE_HOOK_INPUT;
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if (inputPath && fs.existsSync(inputPath)) {
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stdinData = JSON.parse(fs.readFileSync(inputPath, 'utf-8'));
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}
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} catch { /* ignore */ }
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const file = opts.file || stdinData?.tool_input?.file || 'unknown';
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const severity = opts.severity || stdinData?.tool_input?.severity || 'info';
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const message = opts.message || stdinData?.tool_input?.message || '';
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// Learn from LSP diagnostics
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if (severity === 'error' || severity === 'warning') {
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// Record error and get codes
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const codes = intel.recordError(`lsp:${file}`, message);
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const errorCode = codes[0] || `${severity}-unknown`;
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// Record trajectory for learning
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const state = `lsp_${severity}_${path.extname(file).slice(1) || 'unknown'}`;
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intel.learn(state, 'diagnostic', message.slice(0, 100), severity === 'error' ? -0.5 : -0.2);
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intel.save();
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// Output context for Claude
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const fixInfo = intel.suggestFix(errorCode);
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const learnedFixes = fixInfo?.fixes ?? [];
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console.log(JSON.stringify({
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file,
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severity,
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error_code: errorCode,
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learned_fixes: learnedFixes.slice(0, 3),
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recommendation: learnedFixes.length > 0 ? 'Apply learned fix' : 'Investigate error pattern'
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}));
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} else {
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console.log(JSON.stringify({ file, severity, message, action: 'logged' }));
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}
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});
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hooks.command('suggest-ultrathink')
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.description('Recommend ultrathink mode for complex tasks (Claude Code 2.0.55+)')
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.argument('<task...>', 'Task description')
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.option('--file <path>', 'File being worked on')
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.action((task: string[], opts: { file?: string }) => {
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const intel = new Intelligence();
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const taskStr = task.join(' ').toLowerCase();
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const file = opts.file;
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// Complexity patterns that suggest ultrathink mode
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const complexityPatterns: Array<[string, number]> = [
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['algorithm', 0.8], ['optimize', 0.7], ['refactor', 0.6],
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['debug', 0.7], ['performance', 0.7], ['concurrent', 0.8],
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['async', 0.6], ['architecture', 0.8], ['security', 0.7],
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['cryptograph', 0.9], ['distributed', 0.8], ['consensus', 0.9],
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['neural', 0.8], ['ml', 0.7], ['complex', 0.6],
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['migrate', 0.7], ['integration', 0.6], ['api design', 0.7],
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['database schema', 0.7], ['state machine', 0.8], ['parser', 0.8],
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['compiler', 0.9], ['memory management', 0.8], ['thread', 0.7],
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];
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let complexityScore = 0;
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const triggers: string[] = [];
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for (const [pattern, weight] of complexityPatterns) {
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if (taskStr.includes(pattern)) {
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complexityScore = Math.max(complexityScore, weight);
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triggers.push(pattern);
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}
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}
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// Check file extension complexity
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if (file) {
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const ext = path.extname(file).slice(1);
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const complexExts: Record<string, number> = {
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rs: 0.5, cpp: 0.5, c: 0.4, zig: 0.5,
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asm: 0.7, wasm: 0.6, sql: 0.4
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};
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if (complexExts[ext]) {
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complexityScore = Math.max(complexityScore, complexExts[ext]);
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triggers.push(`${ext} file`);
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}
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}
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// Check learned patterns
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const state = `ultrathink_${triggers[0] || 'general'}`;
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const suggested = intel.suggest(state, ['enable', 'skip']);
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const recommendUltrathink = complexityScore >= 0.6;
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// Record trajectory for learning
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intel.learn(state, recommendUltrathink ? 'enable' : 'skip', taskStr.slice(0, 100), 0);
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// Build output
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const output: Record<string, unknown> = {
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task: task.join(' '),
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complexity_score: complexityScore,
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triggers,
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recommend_ultrathink: recommendUltrathink,
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learned_preference: suggested
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};
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if (recommendUltrathink) {
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output.message = '🧠 Complex task detected - ultrathink mode recommended';
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output.reasoning_depth = complexityScore >= 0.8 ? 'deep' : 'moderate';
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} else {
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output.message = 'Standard processing sufficient';
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}
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intel.save();
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console.log(JSON.stringify(output, null, 2));
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});
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hooks.command('async-agent')
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.description('Coordinate async sub-agent execution (Claude Code 2.0.55+)')
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.option('--action <type>', 'Action: spawn, sync, complete', 'spawn')
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.option('--agent-id <id>', 'Agent identifier')
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.option('--task <description>', 'Task description (for spawn)')
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.action((opts: { action: string; agentId?: string; task?: string }) => {
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const intel = new Intelligence();
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const action = opts.action;
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const agentId = opts.agentId || `async-${Date.now()}`;
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const task = opts.task || '';
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switch (action) {
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case 'spawn': {
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// Register async agent
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intel.swarmRegister(agentId, 'async-subagent', ['parallel', 'autonomous']);
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// Record spawn event
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const state = `async_spawn_${task.split(' ')[0] || 'general'}`;
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intel.learn(state, 'spawn', task.slice(0, 100), 0.1);
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// Get learned patterns for similar tasks
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const suggested = intel.suggest(state, ['coder', 'researcher', 'tester', 'reviewer']);
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intel.save();
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console.log(JSON.stringify({
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action: 'spawned',
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agent_id: agentId,
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task,
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suggested_type: suggested.action,
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status: 'running',
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async: true
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}));
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break;
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}
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case 'sync': {
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// Check agent status and coordinate
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const stats = intel.swarmStats();
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console.log(JSON.stringify({
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action: 'sync',
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agent_id: agentId,
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swarm_agents: stats.agents,
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status: 'synchronized',
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pending_results: 0
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}));
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break;
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}
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case 'complete': {
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// Mark agent complete and record success
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const state = `async_complete_${agentId}`;
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intel.learn(state, 'complete', task.slice(0, 100), 1.0);
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// Update agent status
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intel.swarmHeal(agentId); // Resets/removes the agent
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intel.save();
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console.log(JSON.stringify({
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action: 'completed',
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agent_id: agentId,
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status: 'success',
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learning_recorded: true
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}));
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break;
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}
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default:
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console.log(JSON.stringify({
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error: `Unknown action: ${action}`,
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valid_actions: ['spawn', 'sync', 'complete']
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}));
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}
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});
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program.parse();
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